Abstract—Diabetic Retinopathy (DR) is a common cause for blindness and severe vision loss in diabetic patients. Early detection of DR is very crucial to enable timely treatment that may help in maintaining sufficient vision quality. The aim of this work is to present a new automated method for early detection of DR and calculating the percentage of the damaged caused by DR in the retina. The calculation of the percentage is done using Extended Fuzzy Logic (FLe) with Ordered Weighed Averaging (OWA) as an aggregation method. The proposed model is designed to be used in these areas, when human experts are not easily found or the cost of detecting the DR is excessively high, also when diabetic patients need to know about their retina state approximately.

 

Index Terms—Diabetic Retinopathy (DR), Extended Fuzzy Logic (FLe), Microaneurysms, exudates, hemorrhages, Ordered Weighted Averaging (OWA)

Cite: Mohammed Imran, Alhanouf M. Al-Abdullatif, Bushra S. Al-Awwad, Mzoon M. Alwalmani, Sarah A. Al-Suhaibani, and Shahad A. Al-Sayah, "Towards Early Detection of Diabetic Retinopathy Using Extended Fuzzy Logic," International Journal of Pharma Medicine and Biological Sciences, Vol. 5, No. 2, pp. 99-98, April 2016. 10.18178/ijpmbs.5.2.110-114